Overview

Dataset statistics

Number of variables28
Number of observations91051
Missing cells173710
Missing cells (%)6.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory19.5 MiB
Average record size in memory224.0 B

Variable types

Numeric8
Categorical16
Unsupported4

Warnings

tipo_persona has constant value "Natural" Constant
entidad has a high cardinality: 151 distinct values High cardinality
tipo_persona is highly correlated with genero and 13 other fieldsHigh correlation
genero is highly correlated with tipo_personaHigh correlation
tiene_casa_propia is highly correlated with tipo_personaHigh correlation
estado_civil is highly correlated with tipo_personaHigh correlation
codeudor is highly correlated with tipo_personaHigh correlation
municipio_expedicion is highly correlated with tipo_persona and 2 other fieldsHigh correlation
tipo_identificacion is highly correlated with tipo_personaHigh correlation
forma_pago is highly correlated with tipo_personaHigh correlation
municipio_nacimiento is highly correlated with tipo_persona and 2 other fieldsHigh correlation
estado_final is highly correlated with tipo_personaHigh correlation
tipo_venta is highly correlated with tipo_personaHigh correlation
periodo_credito is highly correlated with tipo_personaHigh correlation
sector is highly correlated with tipo_personaHigh correlation
municipio_residencia is highly correlated with tipo_persona and 2 other fieldsHigh correlation
municipio_credito is highly correlated with tipo_personaHigh correlation
empresa has 3993 (4.4%) missing values Missing
cargo has 6016 (6.6%) missing values Missing
tiempo_servicio has 17807 (19.6%) missing values Missing
otros_ingresos_mensual has 69003 (75.8%) missing values Missing
otros_ingresos_concepto has 76889 (84.4%) missing values Missing
sueldo is highly skewed (γ1 = 55.32638512) Skewed
otros_ingresos_mensual is highly skewed (γ1 = 55.03488623) Skewed
valor_credito is highly skewed (γ1 = 48.65011979) Skewed
Row is uniformly distributed Uniform
Row has unique values Unique
empresa is an unsupported type, check if it needs cleaning or further analysis Unsupported
cargo is an unsupported type, check if it needs cleaning or further analysis Unsupported
tiempo_servicio is an unsupported type, check if it needs cleaning or further analysis Unsupported
otros_ingresos_concepto is an unsupported type, check if it needs cleaning or further analysis Unsupported
otros_ingresos_mensual has 15962 (17.5%) zeros Zeros

Reproduction

Analysis started2021-05-05 21:32:15.968012
Analysis finished2021-05-05 21:32:57.509141
Duration41.54 seconds
Software versionpandas-profiling v2.12.0
Download configurationconfig.yaml

Variables

Row
Real number (ℝ≥0)

UNIFORM
UNIQUE

Distinct91051
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45526
Minimum1
Maximum91051
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size711.5 KiB

Quantile statistics

Minimum1
5-th percentile4553.5
Q122763.5
median45526
Q368288.5
95-th percentile86498.5
Maximum91051
Range91050
Interquartile range (IQR)45525

Descriptive statistics

Standard deviation26284.30402
Coefficient of variation (CV)0.5773470987
Kurtosis-1.2
Mean45526
Median Absolute Deviation (MAD)22763
Skewness0
Sum4145187826
Variance690864637.7
MonotonicityStrictly increasing
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20471
 
< 0.1%
887021
 
< 0.1%
68061
 
< 0.1%
47591
 
< 0.1%
272881
 
< 0.1%
252411
 
< 0.1%
313861
 
< 0.1%
293391
 
< 0.1%
191001
 
< 0.1%
170531
 
< 0.1%
Other values (91041)91041
> 99.9%
ValueCountFrequency (%)
11
< 0.1%
21
< 0.1%
31
< 0.1%
41
< 0.1%
51
< 0.1%
ValueCountFrequency (%)
910511
< 0.1%
910501
< 0.1%
910491
< 0.1%
910481
< 0.1%
910471
< 0.1%

tipo_identificacion
Categorical

HIGH CORRELATION

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size711.5 KiB
Cedula de Ciudadania
90731 
Cedula de Extranjeria
 
262
Tarjeta de Identidad
 
23
Registro Civil
 
17
NIT
 
16

Length

Max length21
Median length20
Mean length19.9985283
Min length3

Characters and Unicode

Total characters1820886
Distinct characters24
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowCedula de Ciudadania
2nd rowCedula de Ciudadania
3rd rowCedula de Ciudadania
4th rowCedula de Ciudadania
5th rowCedula de Ciudadania
ValueCountFrequency (%)
Cedula de Ciudadania90731
99.6%
Cedula de Extranjeria262
 
0.3%
Tarjeta de Identidad23
 
< 0.1%
Registro Civil17
 
< 0.1%
NIT16
 
< 0.1%
Pasaporte2
 
< 0.1%
Histogram of lengths of the category
ValueCountFrequency (%)
de91016
33.3%
cedula90993
33.3%
ciudadania90731
33.2%
extranjeria262
 
0.1%
tarjeta23
 
< 0.1%
identidad23
 
< 0.1%
registro17
 
< 0.1%
civil17
 
< 0.1%
nit16
 
< 0.1%
pasaporte2
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
a363783
20.0%
d363540
20.0%
e182336
10.0%
182049
10.0%
i181798
10.0%
C181741
10.0%
u181724
10.0%
n91016
 
5.0%
l91010
 
5.0%
r566
 
< 0.1%
Other values (14)1323
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter1456721
80.0%
Uppercase Letter182116
 
10.0%
Space Separator182049
 
10.0%

Most frequent character per category

ValueCountFrequency (%)
a363783
25.0%
d363540
25.0%
e182336
12.5%
i181798
12.5%
u181724
12.5%
n91016
 
6.2%
l91010
 
6.2%
r566
 
< 0.1%
t327
 
< 0.1%
j285
 
< 0.1%
Other values (6)336
 
< 0.1%
ValueCountFrequency (%)
C181741
99.8%
E262
 
0.1%
I39
 
< 0.1%
T39
 
< 0.1%
R17
 
< 0.1%
N16
 
< 0.1%
P2
 
< 0.1%
ValueCountFrequency (%)
182049
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin1638837
90.0%
Common182049
 
10.0%

Most frequent character per script

ValueCountFrequency (%)
a363783
22.2%
d363540
22.2%
e182336
11.1%
i181798
11.1%
C181741
11.1%
u181724
11.1%
n91016
 
5.6%
l91010
 
5.6%
r566
 
< 0.1%
t327
 
< 0.1%
Other values (13)996
 
0.1%
ValueCountFrequency (%)
182049
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII1820886
100.0%

Most frequent character per block

ValueCountFrequency (%)
a363783
20.0%
d363540
20.0%
e182336
10.0%
182049
10.0%
i181798
10.0%
C181741
10.0%
u181724
10.0%
n91016
 
5.0%
l91010
 
5.0%
r566
 
< 0.1%
Other values (14)1323
 
0.1%

genero
Categorical

HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size711.5 KiB
Femenino
49291 
Masculino
41760 

Length

Max length9
Median length8
Mean length8.458644057
Min length8

Characters and Unicode

Total characters770168
Distinct characters12
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowFemenino
2nd rowFemenino
3rd rowFemenino
4th rowFemenino
5th rowFemenino
ValueCountFrequency (%)
Femenino49291
54.1%
Masculino41760
45.9%
Histogram of lengths of the category
ValueCountFrequency (%)
femenino49291
54.1%
masculino41760
45.9%

Most occurring characters

ValueCountFrequency (%)
n140342
18.2%
e98582
12.8%
i91051
11.8%
o91051
11.8%
F49291
 
6.4%
m49291
 
6.4%
M41760
 
5.4%
a41760
 
5.4%
s41760
 
5.4%
c41760
 
5.4%
Other values (2)83520
10.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter679117
88.2%
Uppercase Letter91051
 
11.8%

Most frequent character per category

ValueCountFrequency (%)
n140342
20.7%
e98582
14.5%
i91051
13.4%
o91051
13.4%
m49291
 
7.3%
a41760
 
6.1%
s41760
 
6.1%
c41760
 
6.1%
u41760
 
6.1%
l41760
 
6.1%
ValueCountFrequency (%)
F49291
54.1%
M41760
45.9%

Most occurring scripts

ValueCountFrequency (%)
Latin770168
100.0%

Most frequent character per script

ValueCountFrequency (%)
n140342
18.2%
e98582
12.8%
i91051
11.8%
o91051
11.8%
F49291
 
6.4%
m49291
 
6.4%
M41760
 
5.4%
a41760
 
5.4%
s41760
 
5.4%
c41760
 
5.4%
Other values (2)83520
10.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII770168
100.0%

Most frequent character per block

ValueCountFrequency (%)
n140342
18.2%
e98582
12.8%
i91051
11.8%
o91051
11.8%
F49291
 
6.4%
m49291
 
6.4%
M41760
 
5.4%
a41760
 
5.4%
s41760
 
5.4%
c41760
 
5.4%
Other values (2)83520
10.8%

estado_civil
Categorical

HIGH CORRELATION

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size711.5 KiB
Union Libre
34793 
Casado
27735 
Soltero
27101 
Viudo
 
862
Divorciado
 
560

Length

Max length11
Median length7
Mean length8.223413252
Min length5

Characters and Unicode

Total characters748750
Distinct characters21
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSoltero
2nd rowUnion Libre
3rd rowUnion Libre
4th rowCasado
5th rowSoltero
ValueCountFrequency (%)
Union Libre34793
38.2%
Casado27735
30.5%
Soltero27101
29.8%
Viudo862
 
0.9%
Divorciado560
 
0.6%
Histogram of lengths of the category
ValueCountFrequency (%)
libre34793
27.6%
union34793
27.6%
casado27735
22.0%
soltero27101
21.5%
viudo862
 
0.7%
divorciado560
 
0.4%

Most occurring characters

ValueCountFrequency (%)
o118712
15.9%
i71568
9.6%
n69586
9.3%
r62454
 
8.3%
e61894
 
8.3%
a56030
 
7.5%
U34793
 
4.6%
34793
 
4.6%
L34793
 
4.6%
b34793
 
4.6%
Other values (11)169334
22.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter588113
78.5%
Uppercase Letter125844
 
16.8%
Space Separator34793
 
4.6%

Most frequent character per category

ValueCountFrequency (%)
o118712
20.2%
i71568
12.2%
n69586
11.8%
r62454
10.6%
e61894
10.5%
a56030
9.5%
b34793
 
5.9%
d29157
 
5.0%
s27735
 
4.7%
l27101
 
4.6%
Other values (4)29083
 
4.9%
ValueCountFrequency (%)
U34793
27.6%
L34793
27.6%
C27735
22.0%
S27101
21.5%
V862
 
0.7%
D560
 
0.4%
ValueCountFrequency (%)
34793
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin713957
95.4%
Common34793
 
4.6%

Most frequent character per script

ValueCountFrequency (%)
o118712
16.6%
i71568
10.0%
n69586
9.7%
r62454
8.7%
e61894
8.7%
a56030
 
7.8%
U34793
 
4.9%
L34793
 
4.9%
b34793
 
4.9%
d29157
 
4.1%
Other values (10)140177
19.6%
ValueCountFrequency (%)
34793
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII748750
100.0%

Most frequent character per block

ValueCountFrequency (%)
o118712
15.9%
i71568
9.6%
n69586
9.3%
r62454
 
8.3%
e61894
 
8.3%
a56030
 
7.5%
U34793
 
4.6%
34793
 
4.6%
L34793
 
4.6%
b34793
 
4.6%
Other values (11)169334
22.6%

edad
Real number (ℝ≥0)

Distinct73
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.11897728
Minimum18
Maximum98
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size711.5 KiB

Quantile statistics

Minimum18
5-th percentile26
Q135
median43
Q352
95-th percentile64
Maximum98
Range80
Interquartile range (IQR)17

Descriptive statistics

Standard deviation11.92193633
Coefficient of variation (CV)0.2702224092
Kurtosis-0.3788885876
Mean44.11897728
Median Absolute Deviation (MAD)9
Skewness0.3402068718
Sum4017077
Variance142.1325658
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
443404
 
3.7%
403167
 
3.5%
412933
 
3.2%
452857
 
3.1%
352814
 
3.1%
492752
 
3.0%
462687
 
3.0%
362646
 
2.9%
312597
 
2.9%
392567
 
2.8%
Other values (63)62627
68.8%
ValueCountFrequency (%)
1812
 
< 0.1%
1966
 
0.1%
20214
0.2%
21292
0.3%
22459
0.5%
ValueCountFrequency (%)
982
< 0.1%
903
< 0.1%
891
 
< 0.1%
882
< 0.1%
871
 
< 0.1%

municipio_residencia
Categorical

HIGH CORRELATION

Distinct27
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size711.5 KiB
ARAUCA
39509 
TAME
24617 
ARAUQUITA
9258 
PUERTO RONDON
4662 
SARAVENA
4288 
Other values (22)
8717 

Length

Max length14
Median length6
Mean length6.560235472
Min length4

Characters and Unicode

Total characters597316
Distinct characters26
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)< 0.1%

Sample

1st rowARAUCA
2nd rowARAUCA
3rd rowARAUCA
4th rowARAUCA
5th rowARAUCA
ValueCountFrequency (%)
ARAUCA39509
43.4%
TAME24617
27.0%
ARAUQUITA9258
 
10.2%
PUERTO RONDON4662
 
5.1%
SARAVENA4288
 
4.7%
PUERTO JORDAN4161
 
4.6%
FORTUL3653
 
4.0%
PANAMA335
 
0.4%
HATO COROZAL213
 
0.2%
CRAVO NORTE148
 
0.2%
Other values (17)207
 
0.2%
Histogram of lengths of the category
ValueCountFrequency (%)
arauca39509
39.4%
tame24617
24.6%
arauquita9258
 
9.2%
puerto8823
 
8.8%
rondon4662
 
4.7%
saravena4288
 
4.3%
jordan4161
 
4.2%
fortul3653
 
3.6%
panama335
 
0.3%
hato213
 
0.2%
Other values (24)726
 
0.7%

Most occurring characters

ValueCountFrequency (%)
A189904
31.8%
R74983
 
12.6%
U70629
 
11.8%
T46750
 
7.8%
C40043
 
6.7%
E37930
 
6.4%
O26928
 
4.5%
M24997
 
4.2%
N18280
 
3.1%
I9312
 
1.6%
Other values (16)57560
 
9.6%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter588121
98.5%
Space Separator9194
 
1.5%
Other Punctuation1
 
< 0.1%

Most frequent character per category

ValueCountFrequency (%)
A189904
32.3%
R74983
 
12.7%
U70629
 
12.0%
T46750
 
7.9%
C40043
 
6.8%
E37930
 
6.4%
O26928
 
4.6%
M24997
 
4.3%
N18280
 
3.1%
I9312
 
1.6%
Other values (14)48365
 
8.2%
ValueCountFrequency (%)
9194
100.0%
ValueCountFrequency (%)
.1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin588121
98.5%
Common9195
 
1.5%

Most frequent character per script

ValueCountFrequency (%)
A189904
32.3%
R74983
 
12.7%
U70629
 
12.0%
T46750
 
7.9%
C40043
 
6.8%
E37930
 
6.4%
O26928
 
4.6%
M24997
 
4.3%
N18280
 
3.1%
I9312
 
1.6%
Other values (14)48365
 
8.2%
ValueCountFrequency (%)
9194
> 99.9%
.1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII597315
> 99.9%
None1
 
< 0.1%

Most frequent character per block

ValueCountFrequency (%)
A189904
31.8%
R74983
 
12.6%
U70629
 
11.8%
T46750
 
7.8%
C40043
 
6.7%
E37930
 
6.4%
O26928
 
4.5%
M24997
 
4.2%
N18280
 
3.1%
I9312
 
1.6%
Other values (15)57559
 
9.6%
ValueCountFrequency (%)
Á1
100.0%

tipo_persona
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size711.5 KiB
Natural
91051 

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters637357
Distinct characters6
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNatural
2nd rowNatural
3rd rowNatural
4th rowNatural
5th rowNatural
ValueCountFrequency (%)
Natural91051
100.0%
Histogram of lengths of the category
ValueCountFrequency (%)
natural91051
100.0%

Most occurring characters

ValueCountFrequency (%)
a182102
28.6%
N91051
14.3%
t91051
14.3%
u91051
14.3%
r91051
14.3%
l91051
14.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter546306
85.7%
Uppercase Letter91051
 
14.3%

Most frequent character per category

ValueCountFrequency (%)
a182102
33.3%
t91051
16.7%
u91051
16.7%
r91051
16.7%
l91051
16.7%
ValueCountFrequency (%)
N91051
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin637357
100.0%

Most frequent character per script

ValueCountFrequency (%)
a182102
28.6%
N91051
14.3%
t91051
14.3%
u91051
14.3%
r91051
14.3%
l91051
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII637357
100.0%

Most frequent character per block

ValueCountFrequency (%)
a182102
28.6%
N91051
14.3%
t91051
14.3%
u91051
14.3%
r91051
14.3%
l91051
14.3%

empresa
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing3993
Missing (%)4.4%
Memory size711.5 KiB

municipio_nacimiento
Categorical

HIGH CORRELATION

Distinct27
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size711.5 KiB
ARAUCA
39509 
TAME
24617 
ARAUQUITA
9258 
PUERTO RONDON
4662 
SARAVENA
4288 
Other values (22)
8717 

Length

Max length14
Median length6
Mean length6.560235472
Min length4

Characters and Unicode

Total characters597316
Distinct characters26
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)< 0.1%

Sample

1st rowARAUCA
2nd rowARAUCA
3rd rowARAUCA
4th rowARAUCA
5th rowARAUCA
ValueCountFrequency (%)
ARAUCA39509
43.4%
TAME24617
27.0%
ARAUQUITA9258
 
10.2%
PUERTO RONDON4662
 
5.1%
SARAVENA4288
 
4.7%
PUERTO JORDAN4161
 
4.6%
FORTUL3653
 
4.0%
PANAMA335
 
0.4%
HATO COROZAL213
 
0.2%
CRAVO NORTE148
 
0.2%
Other values (17)207
 
0.2%
Histogram of lengths of the category
ValueCountFrequency (%)
arauca39509
39.4%
tame24617
24.6%
arauquita9258
 
9.2%
puerto8823
 
8.8%
rondon4662
 
4.7%
saravena4288
 
4.3%
jordan4161
 
4.2%
fortul3653
 
3.6%
panama335
 
0.3%
hato213
 
0.2%
Other values (24)726
 
0.7%

Most occurring characters

ValueCountFrequency (%)
A189904
31.8%
R74983
 
12.6%
U70629
 
11.8%
T46750
 
7.8%
C40043
 
6.7%
E37930
 
6.4%
O26928
 
4.5%
M24997
 
4.2%
N18280
 
3.1%
I9312
 
1.6%
Other values (16)57560
 
9.6%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter588121
98.5%
Space Separator9194
 
1.5%
Other Punctuation1
 
< 0.1%

Most frequent character per category

ValueCountFrequency (%)
A189904
32.3%
R74983
 
12.7%
U70629
 
12.0%
T46750
 
7.9%
C40043
 
6.8%
E37930
 
6.4%
O26928
 
4.6%
M24997
 
4.3%
N18280
 
3.1%
I9312
 
1.6%
Other values (14)48365
 
8.2%
ValueCountFrequency (%)
9194
100.0%
ValueCountFrequency (%)
.1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin588121
98.5%
Common9195
 
1.5%

Most frequent character per script

ValueCountFrequency (%)
A189904
32.3%
R74983
 
12.7%
U70629
 
12.0%
T46750
 
7.9%
C40043
 
6.8%
E37930
 
6.4%
O26928
 
4.6%
M24997
 
4.3%
N18280
 
3.1%
I9312
 
1.6%
Other values (14)48365
 
8.2%
ValueCountFrequency (%)
9194
> 99.9%
.1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII597315
> 99.9%
None1
 
< 0.1%

Most frequent character per block

ValueCountFrequency (%)
A189904
31.8%
R74983
 
12.6%
U70629
 
11.8%
T46750
 
7.8%
C40043
 
6.7%
E37930
 
6.4%
O26928
 
4.5%
M24997
 
4.2%
N18280
 
3.1%
I9312
 
1.6%
Other values (15)57559
 
9.6%
ValueCountFrequency (%)
Á1
100.0%

municipio_expedicion
Categorical

HIGH CORRELATION

Distinct27
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size711.5 KiB
ARAUCA
39509 
TAME
24617 
ARAUQUITA
9258 
PUERTO RONDON
4662 
SARAVENA
4288 
Other values (22)
8717 

Length

Max length14
Median length6
Mean length6.560235472
Min length4

Characters and Unicode

Total characters597316
Distinct characters26
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)< 0.1%

Sample

1st rowARAUCA
2nd rowARAUCA
3rd rowARAUCA
4th rowARAUCA
5th rowARAUCA
ValueCountFrequency (%)
ARAUCA39509
43.4%
TAME24617
27.0%
ARAUQUITA9258
 
10.2%
PUERTO RONDON4662
 
5.1%
SARAVENA4288
 
4.7%
PUERTO JORDAN4161
 
4.6%
FORTUL3653
 
4.0%
PANAMA335
 
0.4%
HATO COROZAL213
 
0.2%
CRAVO NORTE148
 
0.2%
Other values (17)207
 
0.2%
Histogram of lengths of the category
ValueCountFrequency (%)
arauca39509
39.4%
tame24617
24.6%
arauquita9258
 
9.2%
puerto8823
 
8.8%
rondon4662
 
4.7%
saravena4288
 
4.3%
jordan4161
 
4.2%
fortul3653
 
3.6%
panama335
 
0.3%
hato213
 
0.2%
Other values (24)726
 
0.7%

Most occurring characters

ValueCountFrequency (%)
A189904
31.8%
R74983
 
12.6%
U70629
 
11.8%
T46750
 
7.8%
C40043
 
6.7%
E37930
 
6.4%
O26928
 
4.5%
M24997
 
4.2%
N18280
 
3.1%
I9312
 
1.6%
Other values (16)57560
 
9.6%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter588121
98.5%
Space Separator9194
 
1.5%
Other Punctuation1
 
< 0.1%

Most frequent character per category

ValueCountFrequency (%)
A189904
32.3%
R74983
 
12.7%
U70629
 
12.0%
T46750
 
7.9%
C40043
 
6.8%
E37930
 
6.4%
O26928
 
4.6%
M24997
 
4.3%
N18280
 
3.1%
I9312
 
1.6%
Other values (14)48365
 
8.2%
ValueCountFrequency (%)
9194
100.0%
ValueCountFrequency (%)
.1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin588121
98.5%
Common9195
 
1.5%

Most frequent character per script

ValueCountFrequency (%)
A189904
32.3%
R74983
 
12.7%
U70629
 
12.0%
T46750
 
7.9%
C40043
 
6.8%
E37930
 
6.4%
O26928
 
4.6%
M24997
 
4.3%
N18280
 
3.1%
I9312
 
1.6%
Other values (14)48365
 
8.2%
ValueCountFrequency (%)
9194
> 99.9%
.1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII597315
> 99.9%
None1
 
< 0.1%

Most frequent character per block

ValueCountFrequency (%)
A189904
31.8%
R74983
 
12.6%
U70629
 
11.8%
T46750
 
7.8%
C40043
 
6.7%
E37930
 
6.4%
O26928
 
4.5%
M24997
 
4.2%
N18280
 
3.1%
I9312
 
1.6%
Other values (15)57559
 
9.6%
ValueCountFrequency (%)
Á1
100.0%

tiene_casa_propia
Categorical

HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size711.5 KiB
Si
64707 
No
26344 

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters182102
Distinct characters4
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSi
2nd rowNo
3rd rowNo
4th rowSi
5th rowSi
ValueCountFrequency (%)
Si64707
71.1%
No26344
28.9%
Histogram of lengths of the category
ValueCountFrequency (%)
si64707
71.1%
no26344
28.9%

Most occurring characters

ValueCountFrequency (%)
S64707
35.5%
i64707
35.5%
N26344
14.5%
o26344
14.5%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter91051
50.0%
Lowercase Letter91051
50.0%

Most frequent character per category

ValueCountFrequency (%)
S64707
71.1%
N26344
28.9%
ValueCountFrequency (%)
i64707
71.1%
o26344
28.9%

Most occurring scripts

ValueCountFrequency (%)
Latin182102
100.0%

Most frequent character per script

ValueCountFrequency (%)
S64707
35.5%
i64707
35.5%
N26344
14.5%
o26344
14.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII182102
100.0%

Most frequent character per block

ValueCountFrequency (%)
S64707
35.5%
i64707
35.5%
N26344
14.5%
o26344
14.5%

cargo
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing6016
Missing (%)6.6%
Memory size711.5 KiB

sueldo
Real number (ℝ≥0)

SKEWED

Distinct683
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2859056.528
Minimum0
Maximum3204740882
Zeros356
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size711.5 KiB

Quantile statistics

Minimum0
5-th percentile700000
Q1908526
median1500000
Q32500000
95-th percentile4500000
Maximum3204740882
Range3204740882
Interquartile range (IQR)1591474

Descriptive statistics

Standard deviation46992377.74
Coefficient of variation (CV)16.43632341
Kurtosis3260.557737
Mean2859056.528
Median Absolute Deviation (MAD)591474
Skewness55.32638512
Sum2.603199559 × 1011
Variance2.208283565 × 1015
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
90852611022
 
12.1%
20000009250
 
10.2%
10000007714
 
8.5%
15000006764
 
7.4%
12000005502
 
6.0%
30000004903
 
5.4%
8000003043
 
3.3%
40000002992
 
3.3%
18000002854
 
3.1%
25000002744
 
3.0%
Other values (673)34263
37.6%
ValueCountFrequency (%)
0356
0.4%
152131
 
0.1%
8002
 
< 0.1%
300001
 
< 0.1%
930001
 
< 0.1%
ValueCountFrequency (%)
32047408823
 
< 0.1%
32034288402
 
< 0.1%
31743394613
 
< 0.1%
30168780814
 
< 0.1%
200000000016
< 0.1%

tiempo_servicio
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing17807
Missing (%)19.6%
Memory size711.5 KiB

otros_ingresos_mensual
Real number (ℝ≥0)

MISSING
SKEWED
ZEROS

Distinct96
Distinct (%)0.4%
Missing69003
Missing (%)75.8%
Infinite0
Infinite (%)0.0%
Mean1421263.051
Minimum0
Maximum3143089323
Zeros15962
Zeros (%)17.5%
Negative0
Negative (%)0.0%
Memory size711.5 KiB

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3300000
95-th percentile2000000
Maximum3143089323
Range3143089323
Interquartile range (IQR)300000

Descriptive statistics

Standard deviation56019916.75
Coefficient of variation (CV)39.41558652
Kurtosis3051.499426
Mean1421263.051
Median Absolute Deviation (MAD)0
Skewness55.03488623
Sum3.133600775 × 1010
Variance3.138231073 × 1015
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
015962
 
17.5%
1000000894
 
1.0%
500000706
 
0.8%
400000506
 
0.6%
600000423
 
0.5%
2000000388
 
0.4%
800000337
 
0.4%
200000319
 
0.4%
300000279
 
0.3%
1500000234
 
0.3%
Other values (86)2000
 
2.2%
(Missing)69003
75.8%
ValueCountFrequency (%)
015962
17.5%
500003
 
< 0.1%
800002
 
< 0.1%
10000079
 
0.1%
1200007
 
< 0.1%
ValueCountFrequency (%)
31430893231
 
< 0.1%
31185342872
 
< 0.1%
31147707344
 
< 0.1%
10000000001
 
< 0.1%
6000000018
< 0.1%

otros_ingresos_concepto
Unsupported

MISSING
REJECTED
UNSUPPORTED

Missing76889
Missing (%)84.4%
Memory size711.5 KiB

municipio_credito
Categorical

HIGH CORRELATION

Distinct9
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size711.5 KiB
ARAUCA
40815 
TAME
25122 
ARAUQUITA
8799 
SARAVENA
5845 
PUERTO RONDON
 
3691
Other values (4)
6779 

Length

Max length13
Median length6
Mean length6.43173606
Min length4

Characters and Unicode

Total characters585616
Distinct characters19
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowARAUCA
2nd rowARAUCA
3rd rowARAUCA
4th rowARAUCA
5th rowARAUCA
ValueCountFrequency (%)
ARAUCA40815
44.8%
TAME25122
27.6%
ARAUQUITA8799
 
9.7%
SARAVENA5845
 
6.4%
PUERTO RONDON3691
 
4.1%
PUERTO JORDAN3660
 
4.0%
FORTUL3066
 
3.4%
PANAMA51
 
0.1%
CRAVO NORTE2
 
< 0.1%
Histogram of lengths of the category
ValueCountFrequency (%)
arauca40815
41.5%
tame25122
25.5%
arauquita8799
 
8.9%
puerto7351
 
7.5%
saravena5845
 
5.9%
rondon3691
 
3.8%
jordan3660
 
3.7%
fortul3066
 
3.1%
panama51
 
0.1%
norte2
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
A195314
33.4%
R73231
 
12.5%
U68830
 
11.8%
T44340
 
7.6%
C40817
 
7.0%
E38320
 
6.5%
M25173
 
4.3%
O21463
 
3.7%
N16940
 
2.9%
Q8799
 
1.5%
Other values (9)52389
 
8.9%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter578263
98.7%
Space Separator7353
 
1.3%

Most frequent character per category

ValueCountFrequency (%)
A195314
33.8%
R73231
 
12.7%
U68830
 
11.9%
T44340
 
7.7%
C40817
 
7.1%
E38320
 
6.6%
M25173
 
4.4%
O21463
 
3.7%
N16940
 
2.9%
Q8799
 
1.5%
Other values (8)45036
 
7.8%
ValueCountFrequency (%)
7353
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin578263
98.7%
Common7353
 
1.3%

Most frequent character per script

ValueCountFrequency (%)
A195314
33.8%
R73231
 
12.7%
U68830
 
11.9%
T44340
 
7.7%
C40817
 
7.1%
E38320
 
6.6%
M25173
 
4.4%
O21463
 
3.7%
N16940
 
2.9%
Q8799
 
1.5%
Other values (8)45036
 
7.8%
ValueCountFrequency (%)
7353
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII585616
100.0%

Most frequent character per block

ValueCountFrequency (%)
A195314
33.4%
R73231
 
12.5%
U68830
 
11.8%
T44340
 
7.6%
C40817
 
7.0%
E38320
 
6.5%
M25173
 
4.3%
O21463
 
3.7%
N16940
 
2.9%
Q8799
 
1.5%
Other values (9)52389
 
8.9%

codeudor
Categorical

HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size711.5 KiB
SIN CODEUDOR
80127 
CON CODEUDOR
10924 

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters1092612
Distinct characters10
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSIN CODEUDOR
2nd rowSIN CODEUDOR
3rd rowSIN CODEUDOR
4th rowSIN CODEUDOR
5th rowSIN CODEUDOR
ValueCountFrequency (%)
SIN CODEUDOR80127
88.0%
CON CODEUDOR10924
 
12.0%
Histogram of lengths of the category
ValueCountFrequency (%)
codeudor91051
50.0%
sin80127
44.0%
con10924
 
6.0%

Most occurring characters

ValueCountFrequency (%)
O193026
17.7%
D182102
16.7%
C101975
9.3%
N91051
8.3%
91051
8.3%
E91051
8.3%
U91051
8.3%
R91051
8.3%
S80127
7.3%
I80127
7.3%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter1001561
91.7%
Space Separator91051
 
8.3%

Most frequent character per category

ValueCountFrequency (%)
O193026
19.3%
D182102
18.2%
C101975
10.2%
N91051
9.1%
E91051
9.1%
U91051
9.1%
R91051
9.1%
S80127
8.0%
I80127
8.0%
ValueCountFrequency (%)
91051
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin1001561
91.7%
Common91051
 
8.3%

Most frequent character per script

ValueCountFrequency (%)
O193026
19.3%
D182102
18.2%
C101975
10.2%
N91051
9.1%
E91051
9.1%
U91051
9.1%
R91051
9.1%
S80127
8.0%
I80127
8.0%
ValueCountFrequency (%)
91051
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII1092612
100.0%

Most frequent character per block

ValueCountFrequency (%)
O193026
17.7%
D182102
16.7%
C101975
9.3%
N91051
8.3%
91051
8.3%
E91051
8.3%
U91051
8.3%
R91051
8.3%
S80127
7.3%
I80127
7.3%

entidad
Categorical

HIGH CARDINALITY

Distinct151
Distinct (%)0.2%
Missing1
Missing (%)< 0.1%
Memory size711.5 KiB
INDEPENDIENTES ARAUCA
20352 
CONTADO
11306 
CREDITOS TAME
11002 
CONTADOS DE TAME
8120 
INDEP. ARAUQUITA
5015 
Other values (146)
35255 

Length

Max length35
Median length16
Mean length15.8190335
Min length6

Characters and Unicode

Total characters1440323
Distinct characters44
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)< 0.1%

Sample

1st rowALCALDIA DE ARAUCA
2nd rowALCALDIA DE ARAUCA
3rd rowALCALDIA DE ARAUCA
4th rowALCALDIA DE ARAUCA
5th rowALCALDIA DE ARAUCA
ValueCountFrequency (%)
INDEPENDIENTES ARAUCA20352
22.4%
CONTADO11306
12.4%
CREDITOS TAME11002
12.1%
CONTADOS DE TAME8120
 
8.9%
INDEP. ARAUQUITA5015
 
5.5%
PUEBLO NUEVO3068
 
3.4%
FORTUL2950
 
3.2%
CONTADOS ARAUQUITA2919
 
3.2%
PUERTO RONDON2896
 
3.2%
FONDO EDUCATIVO REGIONAL2584
 
2.8%
Other values (141)20838
22.9%
Histogram of lengths of the category
ValueCountFrequency (%)
arauca24020
12.8%
tame22836
12.2%
independientes22644
12.1%
de15005
 
8.0%
contados13476
 
7.2%
creditos11753
 
6.3%
contado11306
 
6.0%
arauquita8721
 
4.6%
indep5015
 
2.7%
saravena4858
 
2.6%
Other values (179)48272
25.7%

Most occurring characters

ValueCountFrequency (%)
A188987
13.1%
E178025
12.4%
N126058
8.8%
D118287
8.2%
O114624
8.0%
T111907
7.8%
96893
 
6.7%
I92010
 
6.4%
R73792
 
5.1%
C70973
 
4.9%
Other values (34)268767
18.7%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter1330412
92.4%
Space Separator96893
 
6.7%
Other Punctuation10181
 
0.7%
Dash Punctuation1022
 
0.1%
Open Punctuation881
 
0.1%
Close Punctuation859
 
0.1%
Lowercase Letter57
 
< 0.1%
Decimal Number18
 
< 0.1%

Most frequent character per category

ValueCountFrequency (%)
A188987
14.2%
E178025
13.4%
N126058
9.5%
D118287
8.9%
O114624
8.6%
T111907
8.4%
I92010
6.9%
R73792
 
5.5%
C70973
 
5.3%
S69158
 
5.2%
Other values (18)186591
14.0%
ValueCountFrequency (%)
o22
38.6%
a15
26.3%
r5
 
8.8%
v5
 
8.8%
e5
 
8.8%
n5
 
8.8%
ValueCountFrequency (%)
.8285
81.4%
,1185
 
11.6%
"702
 
6.9%
%9
 
0.1%
ValueCountFrequency (%)
69
50.0%
09
50.0%
ValueCountFrequency (%)
96893
100.0%
ValueCountFrequency (%)
(881
100.0%
ValueCountFrequency (%)
)859
100.0%
ValueCountFrequency (%)
-1022
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin1330469
92.4%
Common109854
 
7.6%

Most frequent character per script

ValueCountFrequency (%)
A188987
14.2%
E178025
13.4%
N126058
9.5%
D118287
8.9%
O114624
8.6%
T111907
8.4%
I92010
6.9%
R73792
 
5.5%
C70973
 
5.3%
S69158
 
5.2%
Other values (24)186648
14.0%
ValueCountFrequency (%)
96893
88.2%
.8285
 
7.5%
,1185
 
1.1%
-1022
 
0.9%
(881
 
0.8%
)859
 
0.8%
"702
 
0.6%
69
 
< 0.1%
09
 
< 0.1%
%9
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII1440082
> 99.9%
None241
 
< 0.1%

Most frequent character per block

ValueCountFrequency (%)
A188987
13.1%
E178025
12.4%
N126058
8.8%
D118287
8.2%
O114624
8.0%
T111907
7.8%
96893
 
6.7%
I92010
 
6.4%
R73792
 
5.1%
C70973
 
4.9%
Other values (32)268526
18.6%
ValueCountFrequency (%)
Ñ205
85.1%
Á36
 
14.9%

sector
Categorical

HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing1
Missing (%)< 0.1%
Memory size711.5 KiB
PRIVADO
84054 
PUBLICO
 
6996

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters637350
Distinct characters11
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowPUBLICO
2nd rowPUBLICO
3rd rowPUBLICO
4th rowPUBLICO
5th rowPUBLICO
ValueCountFrequency (%)
PRIVADO84054
92.3%
PUBLICO6996
 
7.7%
(Missing)1
 
< 0.1%
Histogram of lengths of the category
ValueCountFrequency (%)
privado84054
92.3%
publico6996
 
7.7%

Most occurring characters

ValueCountFrequency (%)
P91050
14.3%
I91050
14.3%
O91050
14.3%
R84054
13.2%
V84054
13.2%
A84054
13.2%
D84054
13.2%
U6996
 
1.1%
B6996
 
1.1%
L6996
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter637350
100.0%

Most frequent character per category

ValueCountFrequency (%)
P91050
14.3%
I91050
14.3%
O91050
14.3%
R84054
13.2%
V84054
13.2%
A84054
13.2%
D84054
13.2%
U6996
 
1.1%
B6996
 
1.1%
L6996
 
1.1%

Most occurring scripts

ValueCountFrequency (%)
Latin637350
100.0%

Most frequent character per script

ValueCountFrequency (%)
P91050
14.3%
I91050
14.3%
O91050
14.3%
R84054
13.2%
V84054
13.2%
A84054
13.2%
D84054
13.2%
U6996
 
1.1%
B6996
 
1.1%
L6996
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII637350
100.0%

Most frequent character per block

ValueCountFrequency (%)
P91050
14.3%
I91050
14.3%
O91050
14.3%
R84054
13.2%
V84054
13.2%
A84054
13.2%
D84054
13.2%
U6996
 
1.1%
B6996
 
1.1%
L6996
 
1.1%

año_credito
Real number (ℝ≥0)

Distinct26
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2014.573865
Minimum1993
Maximum2021
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size711.5 KiB

Quantile statistics

Minimum1993
5-th percentile2004
Q12012
median2016
Q32019
95-th percentile2020
Maximum2021
Range28
Interquartile range (IQR)7

Descriptive statistics

Standard deviation5.234167277
Coefficient of variation (CV)0.002598151086
Kurtosis0.5839776732
Mean2014.573865
Median Absolute Deviation (MAD)3
Skewness-1.068504403
Sum183428965
Variance27.39650708
MonotonicityNot monotonic
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
202012917
14.2%
201912395
13.6%
20187489
 
8.2%
20157059
 
7.8%
20176514
 
7.2%
20165967
 
6.6%
20145513
 
6.1%
20134956
 
5.4%
20124464
 
4.9%
20113847
 
4.2%
Other values (16)19930
21.9%
ValueCountFrequency (%)
19931
 
< 0.1%
1997206
 
0.2%
1998404
0.4%
1999514
0.6%
2000597
0.7%
ValueCountFrequency (%)
20212020
 
2.2%
202012917
14.2%
201912395
13.6%
20187489
8.2%
20176514
7.2%

mes_credito
Real number (ℝ≥0)

Distinct12
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.831061713
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size711.5 KiB

Quantile statistics

Minimum1
5-th percentile1
Q14
median7
Q310
95-th percentile12
Maximum12
Range11
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.481223489
Coefficient of variation (CV)0.509616753
Kurtosis-1.218913564
Mean6.831061713
Median Absolute Deviation (MAD)3
Skewness-0.1088082783
Sum621975
Variance12.11891698
MonotonicityNot monotonic
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
129588
10.5%
108806
9.7%
117989
8.8%
97860
8.6%
77722
8.5%
67512
8.3%
57443
8.2%
87060
7.8%
37048
7.7%
26932
7.6%
Other values (2)13091
14.4%
ValueCountFrequency (%)
16651
7.3%
26932
7.6%
37048
7.7%
46440
7.1%
57443
8.2%
ValueCountFrequency (%)
129588
10.5%
117989
8.8%
108806
9.7%
97860
8.6%
87060
7.8%

valor_credito
Real number (ℝ≥0)

SKEWED

Distinct6710
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1292388.962
Minimum1
Maximum299250000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size711.5 KiB

Quantile statistics

Minimum1
5-th percentile60000
Q1350000
median882000
Q31570000
95-th percentile4215500
Maximum299250000
Range299249999
Interquartile range (IQR)1220000

Descriptive statistics

Standard deviation1982049.202
Coefficient of variation (CV)1.533632103
Kurtosis6433.666994
Mean1292388.962
Median Absolute Deviation (MAD)592000
Skewness48.65011979
Sum1.176733074 × 1011
Variance3.928519038 × 1012
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100000669
 
0.7%
160000641
 
0.7%
200000633
 
0.7%
1200000628
 
0.7%
180000623
 
0.7%
1000000614
 
0.7%
130000598
 
0.7%
50000595
 
0.7%
400000551
 
0.6%
600000546
 
0.6%
Other values (6700)84953
93.3%
ValueCountFrequency (%)
11
 
< 0.1%
10006
< 0.1%
12501
 
< 0.1%
13001
 
< 0.1%
15001
 
< 0.1%
ValueCountFrequency (%)
2992500001
< 0.1%
1837190001
< 0.1%
751600001
< 0.1%
418620001
< 0.1%
407840001
< 0.1%

estado_final
Categorical

HIGH CORRELATION

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size711.5 KiB
PAGADO VENCIDO
38860 
PAGADO ANTICIPADO
20290 
CONTADO
19524 
PAGADO A TIEMPO
5990 
DESCUENTO EN VENTA
5342 
Other values (3)
 
1045

Length

Max length18
Median length14
Mean length13.4552833
Min length7

Characters and Unicode

Total characters1225117
Distinct characters17
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowPAGADO VENCIDO
2nd rowPAGADO VENCIDO
3rd rowPAGADO VENCIDO
4th rowPAGADO VENCIDO
5th rowPAGADO VENCIDO
ValueCountFrequency (%)
PAGADO VENCIDO38860
42.7%
PAGADO ANTICIPADO20290
22.3%
CONTADO19524
21.4%
PAGADO A TIEMPO5990
 
6.6%
DESCUENTO EN VENTA5342
 
5.9%
DEVOLUCION528
 
0.6%
CARTERA CASTIGADA368
 
0.4%
OTROS CIERRES149
 
0.2%
Histogram of lengths of the category
ValueCountFrequency (%)
pagado65140
37.6%
vencido38860
22.4%
anticipado20290
 
11.7%
contado19524
 
11.3%
tiempo5990
 
3.5%
a5990
 
3.5%
venta5342
 
3.1%
descuento5342
 
3.1%
en5342
 
3.1%
devolucion528
 
0.3%
Other values (4)1034
 
0.6%

Most occurring characters

ValueCountFrequency (%)
A203556
16.6%
O176024
14.4%
D150052
12.2%
N95228
7.8%
P91420
7.5%
I86475
7.1%
C85429
7.0%
82331
6.7%
E67412
 
5.5%
G65508
 
5.3%
Other values (7)121682
9.9%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter1142786
93.3%
Space Separator82331
 
6.7%

Most frequent character per category

ValueCountFrequency (%)
A203556
17.8%
O176024
15.4%
D150052
13.1%
N95228
8.3%
P91420
8.0%
I86475
7.6%
C85429
7.5%
E67412
 
5.9%
G65508
 
5.7%
T57373
 
5.0%
Other values (6)64309
 
5.6%
ValueCountFrequency (%)
82331
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin1142786
93.3%
Common82331
 
6.7%

Most frequent character per script

ValueCountFrequency (%)
A203556
17.8%
O176024
15.4%
D150052
13.1%
N95228
8.3%
P91420
8.0%
I86475
7.6%
C85429
7.5%
E67412
 
5.9%
G65508
 
5.7%
T57373
 
5.0%
Other values (6)64309
 
5.6%
ValueCountFrequency (%)
82331
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII1225117
100.0%

Most frequent character per block

ValueCountFrequency (%)
A203556
16.6%
O176024
14.4%
D150052
12.2%
N95228
7.8%
P91420
7.5%
I86475
7.1%
C85429
7.0%
82331
6.7%
E67412
 
5.5%
G65508
 
5.3%
Other values (7)121682
9.9%

tipo_venta
Categorical

HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size711.5 KiB
ELECTRODOMESTICOS
90240 
MOTOS
 
811

Length

Max length17
Median length17
Mean length16.89311485
Min length5

Characters and Unicode

Total characters1538135
Distinct characters10
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowELECTRODOMESTICOS
2nd rowELECTRODOMESTICOS
3rd rowELECTRODOMESTICOS
4th rowELECTRODOMESTICOS
5th rowELECTRODOMESTICOS
ValueCountFrequency (%)
ELECTRODOMESTICOS90240
99.1%
MOTOS811
 
0.9%
Histogram of lengths of the category
ValueCountFrequency (%)
electrodomesticos90240
99.1%
motos811
 
0.9%

Most occurring characters

ValueCountFrequency (%)
O272342
17.7%
E270720
17.6%
T181291
11.8%
S181291
11.8%
C180480
11.7%
M91051
 
5.9%
L90240
 
5.9%
R90240
 
5.9%
D90240
 
5.9%
I90240
 
5.9%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter1538135
100.0%

Most frequent character per category

ValueCountFrequency (%)
O272342
17.7%
E270720
17.6%
T181291
11.8%
S181291
11.8%
C180480
11.7%
M91051
 
5.9%
L90240
 
5.9%
R90240
 
5.9%
D90240
 
5.9%
I90240
 
5.9%

Most occurring scripts

ValueCountFrequency (%)
Latin1538135
100.0%

Most frequent character per script

ValueCountFrequency (%)
O272342
17.7%
E270720
17.6%
T181291
11.8%
S181291
11.8%
C180480
11.7%
M91051
 
5.9%
L90240
 
5.9%
R90240
 
5.9%
D90240
 
5.9%
I90240
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII1538135
100.0%

Most frequent character per block

ValueCountFrequency (%)
O272342
17.7%
E270720
17.6%
T181291
11.8%
S181291
11.8%
C180480
11.7%
M91051
 
5.9%
L90240
 
5.9%
R90240
 
5.9%
D90240
 
5.9%
I90240
 
5.9%

periodo_credito
Categorical

HIGH CORRELATION

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size711.5 KiB
MENSUAL(ES)
73389 
DIARIA(S)
16635 
SEMANAL(ES)
 
775
QUINCENAL(ES)
 
252

Length

Max length13
Median length11
Mean length10.64013575
Min length9

Characters and Unicode

Total characters968795
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowMENSUAL(ES)
2nd rowMENSUAL(ES)
3rd rowMENSUAL(ES)
4th rowMENSUAL(ES)
5th rowMENSUAL(ES)
ValueCountFrequency (%)
MENSUAL(ES)73389
80.6%
DIARIA(S)16635
 
18.3%
SEMANAL(ES)775
 
0.9%
QUINCENAL(ES)252
 
0.3%
Histogram of lengths of the category
ValueCountFrequency (%)
mensual(es73389
80.6%
diaria(s16635
 
18.3%
semanal(es775
 
0.9%
quincenal(es252
 
0.3%

Most occurring characters

ValueCountFrequency (%)
S165215
17.1%
E148832
15.4%
A108461
11.2%
(91051
9.4%
)91051
9.4%
N74668
7.7%
L74416
7.7%
M74164
7.7%
U73641
7.6%
I33522
 
3.5%
Other values (4)33774
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter786693
81.2%
Open Punctuation91051
 
9.4%
Close Punctuation91051
 
9.4%

Most frequent character per category

ValueCountFrequency (%)
S165215
21.0%
E148832
18.9%
A108461
13.8%
N74668
9.5%
L74416
9.5%
M74164
9.4%
U73641
9.4%
I33522
 
4.3%
D16635
 
2.1%
R16635
 
2.1%
Other values (2)504
 
0.1%
ValueCountFrequency (%)
(91051
100.0%
ValueCountFrequency (%)
)91051
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin786693
81.2%
Common182102
 
18.8%

Most frequent character per script

ValueCountFrequency (%)
S165215
21.0%
E148832
18.9%
A108461
13.8%
N74668
9.5%
L74416
9.5%
M74164
9.4%
U73641
9.4%
I33522
 
4.3%
D16635
 
2.1%
R16635
 
2.1%
Other values (2)504
 
0.1%
ValueCountFrequency (%)
(91051
50.0%
)91051
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII968795
100.0%

Most frequent character per block

ValueCountFrequency (%)
S165215
17.1%
E148832
15.4%
A108461
11.2%
(91051
9.4%
)91051
9.4%
N74668
7.7%
L74416
7.7%
M74164
7.7%
U73641
7.6%
I33522
 
3.5%
Other values (4)33774
 
3.5%

cuotas
Real number (ℝ≥0)

Distinct320
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.93415778
Minimum0
Maximum959
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size711.5 KiB

Quantile statistics

Minimum0
5-th percentile1
Q11
median3
Q39
95-th percentile15
Maximum959
Range959
Interquartile range (IQR)8

Descriptive statistics

Standard deviation23.3819336
Coefficient of variation (CV)2.946996298
Kurtosis212.8928241
Mean7.93415778
Median Absolute Deviation (MAD)2
Skewness11.09347136
Sum722413
Variance546.7148191
MonotonicityNot monotonic
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
140621
44.6%
108973
 
9.9%
58546
 
9.4%
34197
 
4.6%
24157
 
4.6%
123881
 
4.3%
63654
 
4.0%
42897
 
3.2%
142400
 
2.6%
92365
 
2.6%
Other values (310)9360
 
10.3%
ValueCountFrequency (%)
01
 
< 0.1%
140621
44.6%
24157
 
4.6%
34197
 
4.6%
42897
 
3.2%
ValueCountFrequency (%)
9591
< 0.1%
9202
< 0.1%
9091
< 0.1%
8011
< 0.1%
5461
< 0.1%

forma_pago
Categorical

HIGH CORRELATION

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size711.5 KiB
CRÉDITO
69063 
CONTADO
19524 
LIBRANZA
 
2464

Length

Max length8
Median length7
Mean length7.027061757
Min length7

Characters and Unicode

Total characters639821
Distinct characters12
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowLIBRANZA
2nd rowLIBRANZA
3rd rowLIBRANZA
4th rowCRÉDITO
5th rowCRÉDITO
ValueCountFrequency (%)
CRÉDITO69063
75.9%
CONTADO19524
 
21.4%
LIBRANZA2464
 
2.7%
Histogram of lengths of the category
ValueCountFrequency (%)
crédito69063
75.9%
contado19524
 
21.4%
libranza2464
 
2.7%

Most occurring characters

ValueCountFrequency (%)
O108111
16.9%
C88587
13.8%
D88587
13.8%
T88587
13.8%
I71527
11.2%
R71527
11.2%
É69063
10.8%
A24452
 
3.8%
N21988
 
3.4%
L2464
 
0.4%
Other values (2)4928
 
0.8%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter639821
100.0%

Most frequent character per category

ValueCountFrequency (%)
O108111
16.9%
C88587
13.8%
D88587
13.8%
T88587
13.8%
I71527
11.2%
R71527
11.2%
É69063
10.8%
A24452
 
3.8%
N21988
 
3.4%
L2464
 
0.4%
Other values (2)4928
 
0.8%

Most occurring scripts

ValueCountFrequency (%)
Latin639821
100.0%

Most frequent character per script

ValueCountFrequency (%)
O108111
16.9%
C88587
13.8%
D88587
13.8%
T88587
13.8%
I71527
11.2%
R71527
11.2%
É69063
10.8%
A24452
 
3.8%
N21988
 
3.4%
L2464
 
0.4%
Other values (2)4928
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII570758
89.2%
None69063
 
10.8%

Most frequent character per block

ValueCountFrequency (%)
O108111
18.9%
C88587
15.5%
D88587
15.5%
T88587
15.5%
I71527
12.5%
R71527
12.5%
A24452
 
4.3%
N21988
 
3.9%
L2464
 
0.4%
B2464
 
0.4%
ValueCountFrequency (%)
É69063
100.0%

Interactions

Correlations

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Missing values

A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

Sample

First rows

Rowtipo_identificaciongeneroestado_civiledadmunicipio_residenciatipo_personaempresamunicipio_nacimientomunicipio_expediciontiene_casa_propiacargosueldotiempo_serviciootros_ingresos_mensualotros_ingresos_conceptomunicipio_creditocodeudorentidadsectoraño_creditomes_creditovalor_creditoestado_finaltipo_ventaperiodo_creditocuotasforma_pago
01Cedula de CiudadaniaFemeninoSoltero47ARAUCANaturalALCALDIA DE ARAUCAARAUCAARAUCASiPROFESIONAL DE APOYO90852621 AÑOSNaNNaNARAUCASIN CODEUDORALCALDIA DE ARAUCAPUBLICO200812205000PAGADO VENCIDOELECTRODOMESTICOSMENSUAL(ES)1LIBRANZA
12Cedula de CiudadaniaFemeninoUnion Libre66ARAUCANaturalALCALDIA DE ARAUCAARAUCAARAUCANoINSPECTORA DE POLICIA550000025 AÑOSNaNNaNARAUCASIN CODEUDORALCALDIA DE ARAUCAPUBLICO20092143000PAGADO VENCIDOELECTRODOMESTICOSMENSUAL(ES)1LIBRANZA
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56Cedula de CiudadaniaFemeninoUnion Libre66ARAUCANaturalALCALDIA DE ARAUCAARAUCAARAUCANoINSPECTORA DE POLICIA550000025 AÑOSNaNNaNARAUCASIN CODEUDORALCALDIA DE ARAUCAPUBLICO2009112250000PAGADO VENCIDOELECTRODOMESTICOSMENSUAL(ES)14CRÉDITO
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9104291043Cedula de CiudadaniaMasculinoUnion Libre54ARAUQUITANaturalSEAD ARAUCAARAUQUITAARAUQUITASiRECTOR4000000NaNNaNNaNARAUQUITASIN CODEUDORINDEP. ARAUQUITAPRIVADO20159430000PAGADO ANTICIPADOELECTRODOMESTICOSMENSUAL(ES)3CRÉDITO
9104391044Cedula de CiudadaniaMasculinoUnion Libre34ARAUQUITANaturalINDEPENDIENTEARAUQUITAARAUQUITASiPROPIETARIO10000008 AÑOSNaNNaNARAUQUITASIN CODEUDORINDEP. ARAUQUITAPRIVADO201591600000PAGADO ANTICIPADOELECTRODOMESTICOSMENSUAL(ES)10CRÉDITO
9104491045Cedula de CiudadaniaMasculinoUnion Libre32ARAUQUITANaturalINDEPENDIENTEARAUQUITAARAUQUITASiMOTOTAXISTA15000002 AÑOS0.00ARAUQUITASIN CODEUDORINDEP. ARAUQUITAPRIVADO20159125000PAGADO ANTICIPADOELECTRODOMESTICOSMENSUAL(ES)1CRÉDITO
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9104791048Cedula de CiudadaniaMasculinoCasado47ARAUQUITANaturalINDEPENDIENTEARAUQUITAARAUQUITASiADMINISTRADOR FINCA8000007 AÑOSNaNNaNARAUQUITASIN CODEUDORINDEP. ARAUQUITAPRIVADO201581350000PAGADO ANTICIPADOELECTRODOMESTICOSMENSUAL(ES)10CRÉDITO
9104891049Cedula de CiudadaniaMasculinoCasado37ARAUQUITANaturalINDEPENDIENTEARAUQUITAARAUQUITASiCOMERCIANTE100000020 AÑOSNaNNaNARAUQUITASIN CODEUDORINDEP. ARAUQUITAPRIVADO20159980000PAGADO VENCIDOELECTRODOMESTICOSMENSUAL(ES)6CRÉDITO
9104991050Cedula de CiudadaniaMasculinoUnion Libre34ARAUQUITANaturalINDEPENDIENTEARAUQUITAARAUQUITASiCOMERCIANTE10000002 AÑOSNaNNaNARAUQUITASIN CODEUDORINDEP. ARAUQUITAPRIVADO201591050000PAGADO ANTICIPADOELECTRODOMESTICOSMENSUAL(ES)2CRÉDITO
9105091051Cedula de CiudadaniaMasculinoUnion Libre31ARAUQUITANaturalRYR SOLUCIONESARAUQUITAARAUQUITASiTECNICO ELECTRICISTA15000003 AÑOSNaNNaNARAUQUITASIN CODEUDORINDEP. ARAUQUITAPRIVADO20159838000PAGADO ANTICIPADOELECTRODOMESTICOSMENSUAL(ES)3CRÉDITO